The ultimate goals of the application of artificial intelligence (AI) to digital breast
tomosynthesis (DBT) are the reduction of reading times, the increase of diagnostic …

Simple Summary Screening mammography reduces mortality from breast malignancy.
However, breast cancer screening is, unfortunately, hindered due to the poor sensitivity of …

In the mid-1990s, the identification of BRCA1/2 genes for breast cancer susceptibility led to
testing breast MRI accuracy in screening women at increased risk. From 2000 onwards, ten …

Purpose High noise levels due to low X-ray dose are a challenge in digital breast
tomosynthesis (DBT) reconstruction. Deep learning algorithms show promise in reducing …

Introduction Digital breast tomosynthesis (DBT) may improve sensitivity in population
screening. However, evidence is currently limited on the performance of DBT in patients at a …

There are important differences in the performance and outcomes of breast cancer
screening in the prevalent compared to the incident screening rounds. The prevalent screen …

Background Digital breast tomosynthesis (DBT) for breast cancer screening has been
shown in international trials to increase cancer detection compared with mammography; …

Objective. Breast architectural distortion (AD), a common imaging symptom of breast cancer,
is associated with a particularly high rate of missed clinical detection. In clinical practice …

Breast cancer is a major public health problem, being the most common cancer diagnosed
in women and accounting for more than 1 in 10 new diagnoses of cancer each year. It is the …

With increasing evidence for supplemental ultrasound (US) for breast cancer screening in
women with dense breasts, there is an interest in developing more robust and cost-effective …